Linux Certif

Toute la documentation sur la certification Linux LPI

tablify.1p

NAME

tablify - turn a delimited text file into a text table

SYNOPSIS

   tablify [options] file
 
 

Options:

   -h|--help           Show help
   --no-headers        Assume first line is data, not headers
   --no-pager          Do not use $ENV{'PAGER'} even if defined
   --strip-quotes      Strip " or ' around fields
   -l|--list           List the fields in the file (for use with -f)
   -f|--fields=f1[,f2] Show only fields in comma-separated list;
                       when used in conjunction with "no-headers"
                       the list should be field numbers (starting at 1);
                       otherwise, should be field names
   -w|where=f<cmp>v    Apply the "cmp" Perl operator to restrict output 
                       where field "f" matches the value "v";  acceptable
                       operators include ==, eq, >, >=, <=, and =~
   -v|--vertical       Show records vertically
   --limit=n           Limit to first "n" records
   --fs=x              Use "x" as the field separator 
                       (default is tab "\t")
   --rs=x              Use "x" as the record separator 
                       (default is newline "\n")
   --as-html           Create an HTML table instead of plain text
 
 

DESCRIPTION

This script is essentially a quick way to parse a delimited text file and view it as a nice ASCII table. By selecting only certain fields, employing a where clause to only select records where a field matches some value, and using the limit to only see some of the output, you almost have a mini-database front-end for a simple text file.

EXAMPLES

Given a data file like this:

   name,rank,serial_no,is_living,age
   George,General,190293,0,64
   Dwight,General,908348,0,75
   Attila,Hun,,0,56
   Tojo,Emporor,,0,87
   Tommy,General,998110,1,54
 
 

To find the fields you can reference, use the list option:

   $ tablify --fs ',' -l people.dat 
   +-----------+-----------+
   | Field No. | Field     |
   +-----------+-----------+
   | 1         | name      |
   | 2         | rank      |
   | 3         | serial_no |
   | 4         | is_living |
   | 5         | age       |
   +-----------+-----------+
 
 

To extract just the name and serial numbers, use the fields option:

   $ tablify --fs ',' -f name,serial_no people.dat 
   +--------+-----------+
   | name   | serial_no |
   +--------+-----------+
   | George | 190293    |
   | Dwight | 908348    |
   | Attila |           |
   | Tojo   |           |
   | Tommy  | 998110    |
   +--------+-----------+
   5 records returned
 
 

To extract the first through third fields and the fifth field (where field numbers start at ``1'' --- tip: use the list option to quickly determine field numbers), use this syntax for fields:

   $ tablify --fs ',' -f 1-3,5 people.dat 
   +--------+---------+-----------+------+
   | name   | rank    | serial_no | age  |
   +--------+---------+-----------+------+
   | George | General | 190293    | 64   |
   | Dwight | General | 908348    | 75   |
   | Attila | Hun     |           | 56   |
   | Tojo   | Emporor |           | 87   |
   | Tommy  | General | 998110    | 54   |
   +--------+---------+-----------+------+
   5 records returned
 
 

To select only the ones with six serial numbers, use a where clause:

   $ tablify --fs ',' -w 'serial_no=~/^\d{6}$/' people.dat
   +--------+---------+-----------+-----------+------+
   | name   | rank    | serial_no | is_living | age  |
   +--------+---------+-----------+-----------+------+
   | George | General | 190293    | 0         | 64   |
   | Dwight | General | 908348    | 0         | 75   |
   | Tommy  | General | 998110    | 1         | 54   |
   +--------+---------+-----------+-----------+------+
   3 records returned
 
 

To find Dwight's record, you would do this:

   $ tablify --fs ',' -w 'name eq "Dwight"' people.dat
   +--------+---------+-----------+-----------+------+
   | name   | rank    | serial_no | is_living | age  |
   +--------+---------+-----------+-----------+------+
   | Dwight | General | 908348    | 0         | 75   |
   +--------+---------+-----------+-----------+------+
   1 record returned
 
 

To find the name of all the people with a serial number who are living:

   $ tablify --fs ',' -f name -w 'is_living==1' -w 'serial_no>0' people.dat 
   +-------+
   | name  |
   +-------+
   | Tommy |
   +-------+
   1 record returned
 
 

To filter outside of program and simply format the results, use ``-'' as the last argument to force reading of STDIN (and probably assume no headers):

   $ grep General people.dat | tablify --fs ',' -f 1-3 --no-headers -
   +---------+--------+--------+
   | Field1  | Field2 | Field3 |
   +---------+--------+--------+
   | General | 190293 | 0      |
   | General | 908348 | 0      |
   | General | 998110 | 1      |
   +---------+--------+--------+
   3 records returned
 
 

When dealing with data lacking field names, you can specify ``no-headers'' and then refer to fields by number (starting at one), e.g.:

   $ tail -5 people.dat | tablify --fs ',' --no-headers -w '3 eq "General"' -
   +--------+---------+--------+--------+--------+
   | Field1 | Field2  | Field3 | Field4 | Field5 |
   +--------+---------+--------+--------+--------+
   | George | General | 190293 | 0      | 64     |
   | Dwight | General | 908348 | 0      | 75     |
   | Tommy  | General | 998110 | 1      | 54     |
   +--------+---------+--------+--------+--------+
   3 records returned
 
 

If your file has many fields which are hard to see across the screen, consider using the vertical display with ``-v'' or ``--vertical'', e.g.:

   $ tablify --fs ',' -v --limit 1 people.dat
   ************ Record 1 ************
        name: George
        rank: General
   serial_no: 190293
   is_living: 0
        age : 64
   
   1 record returned
 
 

SEE ALSO

•

Text::RecordParser

•

Text::TabularDisplay

•

DBD::CSV

Although I don't DBD::CSV this module, the idea was much the inspiration for this. I just didn't want to have to install DBI and DBD::CSV to get this kind of functionality. I think my interface is simpler.

AUTHOR

Ken Youens-Clark <kclark@cpan.org>.

LICENSE AND COPYRIGHT

Copyright (C) 2006-9 Ken Youens-Clark. All rights reserved.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; version 2.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.